助理教授/讲师

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卢志

助理教授

清华大学心理与认知科学系

luzhi@tsinghua.edu.cn

职称 助理教授 单位 清华大学心理与认知科学系
邮箱 luzhi@tsinghua.edu.cn 个人主页
研究领域 介观脑成像与解析、计算神经科学、多模态数据理解与智能分析、人工智能驱动的科学研究
个人简介

卢志,清华大学助理教授,特别研究员,博士生导师, 国家高层次青年人才。于清华大学自动化系/脑与认知科学研究院获学士和博士学位,师从戴琼海院士。主要学术方向为计算成像、智能显微、具身智能、科学智能等,研究兴趣包括:1) 高维光场感知,全面获取时-空-角信息实现高速高分辨三维显微成像,建立了首次突破“时-空-角”约束的扫描光场(Cell 2021; Nat Protoc 2022)、共聚焦扫描光场(Nat Biotechnol 2024)等系列计算成像框架;2) 高效鲁棒重建,研究人工智能技术拓展显微图像与视频序列的速度、分辨率、鲁棒性等维度,提出了基于探索“相-空间”关联性的超分辨(Nat Methods 2023)、三维重建(Nat Methods 2025)、去噪(Nat Commun 2025; Sci Adv 2026)、去像差(Nat Biotechnol 2026)、去散射(Nat Commun, 2021)等系列图像处理方法;3) 具身智能分析,理解大规模细胞群体规律,助力生命科学与基础医学机理活体验证,合作支撑了药物性炎症机制解析(J Hepatol 2023; Cell Mol Immunol 2025)、微环境修复调控景观(Adv Sci 2024)、细胞级胞葬网络路径(Sci Transl Med 2025)等多项生命医药研究。授权发明专利30余项。入选福布斯中国U30科学榜(2023)、博士后创新人才支持计划(2023)、国家高层次人才特殊支持计划青年拔尖人才项目(2024)、福布斯·环球联盟国际化青年领袖(2026),获得世界人工智能大会最高奖SAIL(2022,2024)、瑞士乔诺法(Dimitris N. Chorafas Prize)青年研究奖(2024)、中国光学十大进展(2022)、国际基础科学大会前沿探索奖(2023)、中国电子学会/自动化学会/北京市优博(2023)等荣誉。

教育背景

2018 – 2023 清华大学 自动化系/脑与认知科学研究院 工学博士

2014 – 2018 清华大学 自动化系 工学学士

工作经历

2025 - 今 清华大学 心理与认知科学系 助理教授

2025 - 今 清华大学 自动化系(智能科学与技术专业) 兼职教师

2023 - 2025 清华大学 自动化系/脑与认知科学研究院 博士后

研究兴趣

生物、医学光学与光子学

计算成像与智能显微

计算神经科学与AI大模型

多任务显微图像处理大模型

多模态数据理解大模型

具身智能与脑启发世界模型

人工智能驱动的科学研究

(实验室长期招收博士后、博士/硕士研究生、科研助理和实习生。其中,科研助理和实习生面向本硕博各阶段学生,鼓励长期深度参与,高度支持远程进行,能稳定投入6个月以上者优先。对以上方向感兴趣的同学欢迎与我联系:luzhi@tsinghua.edu.cn)

学术兼职

中国生物物理学会 生物医学成像分会 副秘书长

中国电子学会 信号处理分会 委员

国家疾控局 疾病预防控制领域“人工智能+”工作专班 成员

荣誉与奖励

2026 福布斯·环球联盟国际化青年领袖

2026 全国成像探测与信息处理学术会议优秀青年科技奖

2025 清华大学优秀博士后(10 out of 3,500)

2024 国家高层次人才特殊支持计划青年拔尖人才项目

2024 瑞士乔诺法(Dimitris N. Chorafas Prize)青年研究奖(全球~30人/年)

2024 世界人工智能大会卓越人工智能引领者奖(大会最高奖,SAIL Award,5项/年)

2024 世界人工智能大会青年优秀论文奖(WAIC YOP)

2023 国际基础科学大会Best Paper Award in Computational Optics

2023 福布斯中国U30科学榜

2023 国家博士后创新人才支持计划

2023 北京市优秀博士学位论文

2023 中国自动化学会研究生论文工程-博士论文一等学位论文

2023 中国电子学会博士学位论文激励计划

2023 清华大学研究生毕业典礼发言代表(1 out of 7,500)

2022 “中国光学十大进展”(应用研究类)

2022 清华大学学生年度人物(10 out of 45,000)

2022 清华大学研究生“学术新秀”(10 out of 30,000)

2021 “中国光学十大进展”提名奖(应用研究类)

2021 《科技导报》中国重大技术进展

2021 Cell Press中国年度论文

学术发表(部分)

2026

[1] Yunmin Zeng; Qi Zhang; Yihong Xiao; Shidong Wu; Seonghoon Kim; Yunhao Zhang; Mingrui Wang; Yuanlong Zhang; Xinyang Li; Zhi Lu*; Jiamin Wu*; Qionghai Dai*; High-fidelity intravital imaging of biological dynamics with latent-space-enhanced digital adaptive optics. Nature Biotechnology, 2026. (IF5-year 59.5) https://doi.org/10.1038/s41587-026-03107-2

[2] Yuanjie Gu#; Yiqun Wang#; Ang Xuan; Jianping Wang; Linyi Wang; Lei Zhang; Xiaoran Li; Yao Wu; Jun Zhang; Zhi Lu*; Biqin Dong*; Enhancing Biomedical Optical Volumetric Imaging via Self-Supervised Orthogonal Learning. Science Advances, 2026, 12, eady9194. (IF5-year 14.1) https://doi.org/10.1126/sciadv.ady9194

[3] Yixin Li; Qi Zhang; Yuanlong Zhang; Jiaqi Fan; Zhi Lu; Xinhong Xu; Xinyang Li*; Ziwei Li*; Jiamin Wu*; Qionghai Dai*; Unsupervised transfer learning enables multi-animal tracking without training annotation. Nature Methods, 2026. (IF5-year 51.7) https://doi.org/10.1038/s41592-026-03051-8

[4] Yifan Chen; Yunmin Zeng; Tao Yu; Yuduo Guo; Yuwang Wang; Zhi Lu; Dr Jiamin Wu*; Qionghai Dai*; Super-Snell scanning light-field display for ultra-wide-angle high-resolution glasses-free 3D displays. Nature Photonics, accepted, 2026. (IF5-year 38.2)


2025

[5] Zhi Lu#; Manchang Jin#; Shuai Chen; Xiaoge Wang; Feihao Sun; Qi Zhang; Zhifeng Zhao; Jiamin Wu*; Jingyu Yang*; Qionghai Dai*; Physics-driven self-supervised learning for fast high-resolution robust 3D reconstruction of light-field microscopy. Nature Methods, 2025, 22, 1545–1555. (IF5-year 51.7) https://doi.org/10.1038/s41592-025-02698-z

[6] Zhi Lu#; Wentao Chen#; Feihao Sun; Jiaqi Fan; Xinyang Li; Zhenqi Fu; Manchang Jin; Jiamin Wu*; Qionghai Dai*; Leveraging spatial-angular redundancy for self-supervised denoising of 3D fluorescence imaging without temporal dependency. Nature Communications, 2025, 16, 11608. (IF5-year 17.2) https://doi.org/10.1038/s41467-025-66654-3

[7] Shuai Chen#; Bingyuan Huang#; Shanshan Li#; Zhijing Wang#; Yizhong Chang; Huaming Huang; Chun Liu; Shuo Zhang; Manchang Jin; Haoyu Jia; Bo Yang; Ziwen Tao; Li Chen; Kai Guo; Zhi Lu*; Jing Li*; Fei Wang*; Changqing Yang*; Myeloid Mas-driven macrophage efferocytosis promotes resolution in ischemia-stressed mouse and human livers. Science Translational Medicine, 2025, 17, eadr2725. (IF5-year 16.0) https://doi.org/10.1126/scitranslmed.adr2725

[8] Yuanyuan Luo#; Yarong Hao#; Chunyan Sun#; Zhi Lu#; Hao Wang#; Yuhan Lin; Yaping Guan; Lingyan Cai; Chenhong Ding; Binbin Li; Fei Chen; Yiting Lu; Yong Lin*; Xin Zeng*; Gut-derived indole propionic acid alleviates liver fibrosis by targeting pro-fibrogenic macrophage via gut-liver axis. Cellular & Molecular Immunology, 2025, 11, 1414-1426. (IF5-year 22.6) https://doi.org/10.1038/s41423-025-01339-x


2024

[9] Zhi Lu#; Siqing Zuo#; Minghui Shi#; Jiaqi Fan; Jingyu Xie; Guihua Xiao; Li Yu*; Jiamin Wu*; Qionghai Dai*; Long-term intravital subcellular imaging with confocal scanning light-field microscopy. Nature Biotechnology, 2024, 43, 569–580. (IF5-year 59.5) https://doi.org/10.1038/s41587-024-02249-5

[10] Shuai Chen#; Zhi Lu#; Yudong Zhao#; Lu Xia#; Chun Liu; Siqing Zuo; Manchang Jin; Haoyu Jia; Shanshan Li; Shuo Zhang; Bo Yang; Zhijing Wang; Jing Li*; Fei Wang*; Changqing Yang*; Myeloid-Mas signaling modulates pathogenic crosstalk among MYC+CD63+ endothelial cells, MMP12+ macrophages and monocytes in Acetaminophen-induced liver injury. Advanced Science, 2024, 11, 202306066. (IF5-year 15.6) https://doi.org/10.1002/advs.202306066


2023

[11] Zhi Lu#; Yu Liu#; Manchang Jin; Xin Luo; Huanjing Yue; Zian Wang; Siqing Zuo; Yunmin Zeng; Jiaqi Fan; Yanwei Pang; Jiamin Wu*; Jingyu Yang*; Qionghai Dai*; Virtual-scanning light-field microscopy for robust snapshot high-resolution volumetric imaging. Nature Methods, 2023, 20, 735-746. (IF5-year 51.7) https://doi.org/10.1038/s41592-023-01839-6

[12] Shuai Chen#; Zhi Lu#; Haoyu Jia#; Bo Yang#; Chun Liu; Yuxin Yang; Shuo Zhang; Zhijing Wang; Liu Yang; Shanshan Li; Jing Li*; Changqing Yang*; Hepatocyte-specific Mas activation enhances lipophagy and fatty acid oxidation to protect against acetaminophen-induced hepatotoxicity. Journal of Hepatology, 2023, 78, 543-557. (IF5-year 28.1) https://doi.org/10.1016/j.jhep.2022.10.028

[13] Zhifeng Zhao#; Yiliang Zhou#; Bo Liu#; Jing He#; Jiayin Zhao; Yeyi Cai; Jingtao Fan; Xinyang Li; Zilin Wang; Zhi Lu; Jiamin Wu*; Hai Qi*; Qionghai Dai*; Two-photon synthetic aperture microscopy for minimally invasive fast 3D imaging of native subcellular behaviors in deep tissue. Cell, 2023, 186, 2475-2491. (IF5-year 48.8) https://doi.org/10.1016/j.cell.2023.04.016


2022

[14] Zhi Lu; Yeyi Cai; Yixin Nie; Yuxin Yang; Jiamin Wu*; Qionghai Dai*; A practical guide to scanning light-field microscopy with digital adaptive optics. Nature Protocols, 2022, 17, 1953–1979. (IF5-year 19.4) https://doi.org/10.1038/s41596-022-00703-9

[15] Jiamin Wu#; Yuduo Guo#; Chao Deng#; Anke Zhang; Hui Qiao; Zhi Lu; Jiachen Xie; Lu Fang*; Qionghai Dai*; An integrated imaging sensor for aberration-corrected 3D photography, Nature, 2022, 612, 62-71. (IF5-year 55.0) https://doi.org/10.1038/s41586-022-05306-8

[16] Yi Zhang#; Yuling Wang#; Mingrui Wang; Yuduo Guo; Xinyang Li; Yifan Chen; Zhi Lu; Jiamin Wu*; Xiangyang Ji*; Qionghai Dai*; Multi-focus light-field microscopy for high-speed large-volume imaging. PhotoniX, 2022, 3, 1-20. (IF5-year 19.3) https://doi.org/10.1186/s43074-022-00076-y


2021

[17] Jiamin Wu#; Zhi Lu#; Dong Jiang#; Yuduo Guo; Hui Qiao; Yi Zhang; Tianyi Zhu; Yeyi Cai; Xu Zhang; Karl Zhanghao; Hao Xie; Tao Yan; Guoxun Zhang; Xiaoxu Li; Zheng Jiang; Xing Lin; Lu Fang; Bing Zhou; Peng Xi; Jingtao Fan*; Li Yu*; Qionghai Dai*; Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale. Cell, 2021, 184, 3318-3332. (IF5-year 48.8) https://doi.org/10.1016/j.cell.2021.04.029

[18] Yi Zhang#; Zhi Lu#; Jiamin Wu#,*; Xing Lin; Dong Jiang; Yeyi Cai; Jiachen Xie; Yuling Wang; Tianyi Zhu; Xiangyang Ji*; Qionghai Dai*; Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy. Nature Communications, 2021, 12, 6391. (IF5-year 17.2) https://doi.org/10.1038/s41467-021-26730-w

[19] Yuanlong Zhang#; Bo Xiong#; Yi Zhang; Zhi Lu; Jiamin Wu*; Qionghai Dai*; DiLFM: an artifact-eliminated and noise-robust light-field microscopy through dictionary learning. Light: Science & Applications, 2021, 10, 152. (IF5-year 23.1) https://doi.org/10.1038/s41377-021-00587-6


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